|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
A project course for senior electrical engineering majors in which a single significant engineering problem is treated, involving design and development, operation, data reduction, and analysis. Requires a final written report and oral presentation of results. Prerequisites: Senior standing and ECE 382, or permission of instructor.
-
1.00 - 3.00 Credits
A detailed study of a topic of current interest chosen by a faculty member. This course may include lectures, projects, and/or laboratory work. Prerequisite: Permission of instructor. Laboratory fee. (Note: This course is not a substitute for ECE 483 Design II. Topic and instructor will be announced in advance by the department.)
-
3.00 Credits
Review of signals and networks. Fourier series and transforms, probability, random variables and random processes, base pulse and digital signaling, bandpass signaling techniques and components, performance of communication systems corrupted by noise, signal-space methods in digital data transmission. Prerequisites: Graduate or senior ECE standing with ECE 420 and ECE 423.
-
3.00 Credits
This is a graduate course that focuses on fiber optic link analysis and design. It covers properties of light, light propagation in optical fibers, optical sources and transmitters, laser and LEDs, detectors/receivers, signal degradation in optical fibers, and fiber optic passive components. Students gain a basic understanding of optics and fiber optics, the concept of signal degradation in fiber, the working theory of sources and detectors, and fiber optic communication system design. Prerequisite: Senior or graduate standing.
-
3.00 Credits
This course involves topics related to embedded, real-time microprocessor systems. It is project oriented, giving students the further opportunity to investigate topics discussed in the course. Projects use a microcontroller. Students are expected to be familiar with the Motorola 68HC11 assembly language and C language programming and with assembly language. Prerequisites: Graduate or senior ECE standing and familiarity with assembly language and C language. Laboratory fee.
-
3.00 Credits
This class uses VHDL for design, synthesis, simulation, and modeling. Students will learn how to write VHDL models that can be automatically synthesized into integrated circuits, such as FPGA. The use of software and hardware is an essential part of the course. Prerequisite: ECE 231. Laboratory fee.
-
3.00 Credits
Hardware for Engineering [ 3] Architecture and programming of digital signal processing chips. Application of DSP chips to sampling, digital filters, FFTs, etc. Professional elective in the B.S.E.E. program. Prerequisites: Graduate or senior ECE standing with ECE 440 and ECE 441. Laboratory fee.
-
3.00 Credits
The modeling, analysis, and design of linear discrete control systems; z- and modified z-transforms; sampling and data reconstruction; open- and closed-loop transfer function and state-space models; steady-state and transient response analysis; root locus; frequency response plots; digital controller design using Bode plots; microcomputer implementation of digital controllers. Prerequisites: Graduate or senior ECE standing with ECE 442 (minimum grade of C-).
-
3.00 Credits
State-space models for continuous and discrete control systems; controllability and observability; canonical forms; pole placement, observers, reduced-order observers, observers in-the-loop, and optimal controllers for SISO continuous and discrete control system; Lyapunov stability and bang-bang controllers. Prerequisite: ECE 543 (minimum grade of C-).
-
3.00 Credits
Fundamentals of neural systems, neural network paradigms, network properties, and learning concepts. Neural architectures, supervised learning, error backpropagation. Unsupervised learning and feature extraction. Engineering-system design applications function approximation, classification, clustering, forecasting, control, optimization, pattern recognition. Hardware implementation of neural nets using nanoscale-integrated circuit technology. Engineering-design case studies from transportation, laser drilling, fingerprint identification, signal processing, and integrated circuit optimization. Lab projects, literaturesearch critical review. Prerequisite: Senior or graduate standing. Laboratory fee.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|